Intent-Based Network Resource Requests for Unified SLA Allocation

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current 2B network deployment methods lack a comprehensive understanding of network architecture and service requirements, leading to inadequate resource allocation and compromised communication service quality due to scattered and incomplete SLA information.

Innovation Solution

A network resource request method using an intent model to systematically describe total service requirements, generating SLA information, and sending it to an element management system for accurate resource allocation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the element management system reserves network resources based on multiple separate SLA requirement information pieces, then the resource reservation process can be completed, but the communication service quality is severely affected due to incomplete service requirement reflection

Engineering Contradiction:
Improvecommunication service qualityVSAvoidservice requirement information completeness
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The patent combines multiple scattered SLA requirement information pieces into a unified service requirement description. The network resource management system aggregates service requirements from multiple terminal devices and service types into a single comprehensive SLA information set, which is then sent to the element management system for unified resource reservation, ensuring complete reflection of total service requirements.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent creates a universal service requirement description framework that can accommodate multiple terminal devices, service types, and SLA parameters within a single unified structure. This multi-functional description method enables the system to handle diverse service requirements (voice, data, video, etc.) from multiple terminals through one standardized interface.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Measurement precision

If the element management system reserves network resources mechanically for multiple times based on single SLA information, then the resource reservation can be executed, but the allocation accuracy is insufficient

Engineering Contradiction:
Improvenetwork resource allocation accuracyVSAvoidresource reservation efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent performs preliminary aggregation of service requirements before resource reservation. The network resource management system collects and consolidates all service requirements from multiple terminal devices and service types into a unified SLA information set in advance, enabling the element management system to execute a single accurate resource reservation operation rather than multiple mechanical reservations.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements a feedback mechanism where the network resource management system monitors actual service requirements and resource allocation outcomes, then adjusts the unified service requirement description accordingly. This continuous feedback loop ensures that the aggregated SLA information accurately reflects real-world service needs, improving allocation precision over time.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12513573B2Network resource request method and related device thereof
Publication Date: 2025.12.30 HUAWEI TECH CO LTD
  • US12513573B2 patent drawing
  • US12513573B2 patent drawing
  • US12513573B2 patent drawing

AI summary

The present disclosure relates to a network resource request method. An example method includes obtaining network intent information of a user, where the network intent information includes quantity information of a terminal device and service requirement information of the terminal device. The example method further includes performing classification representation on the network intent information based on an intent model, where the intent model includes a terminal device set, a service flow set, and a mapping relationship between the terminal device set and the service flow set. The example method further includes generating service level agreement (SLA) information based on a representation result of the intent model and sending the SLA information to an element management system.